Literature DB >> 22446067

Paint4Net: COBRA Toolbox extension for visualization of stoichiometric models of metabolism.

Andrejs Kostromins1, Egils Stalidzans.   

Abstract

A visual analysis of reconstructions and large stoichiometric models with elastic change of the visualization scope and representation methods becomes increasingly important due to the rapidly growing size and number of available reconstructions. The Paint4Net is a novel COBRA Toolbox extension for automatic generation of a hypergraph layout of defined scope with the steady state rates of reaction fluxes of stoichiometric models. Directionalities and fluxes of reactions are constantly represented in the visualization while detailed information about reaction (ID, name and synonyms, and formula) and metabolite (ID, name and synonyms, and charged formula) appears placing the cursor on the item of interest. Additionally Paint4Net functionality can be used to: (1) get lists of involved metabolites and dead end metabolites of the visualized part of the network, (2) exclude (filter) particular metabolites from representation, (3) find isolated parts of a network and (4) find running cycles when all the substrates are cut down. Layout pictures can be saved in various formats and easily distributed. The Paint4Net is open source software under the GPL v3 license. Relevant documentation and sample data is available at http://www.biosystems.lv/paint4net. The Paint4Net works on MATLAB starting from version of 2009.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22446067     DOI: 10.1016/j.biosystems.2012.03.002

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  8 in total

1.  Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0.

Authors:  Laurent Heirendt; Sylvain Arreckx; Thomas Pfau; Sebastián N Mendoza; Anne Richelle; Almut Heinken; Hulda S Haraldsdóttir; Jacek Wachowiak; Sarah M Keating; Vanja Vlasov; Stefania Magnusdóttir; Chiam Yu Ng; German Preciat; Alise Žagare; Siu H J Chan; Maike K Aurich; Catherine M Clancy; Jennifer Modamio; John T Sauls; Alberto Noronha; Aarash Bordbar; Benjamin Cousins; Diana C El Assal; Luis V Valcarcel; Iñigo Apaolaza; Susan Ghaderi; Masoud Ahookhosh; Marouen Ben Guebila; Andrejs Kostromins; Nicolas Sompairac; Hoai M Le; Ding Ma; Yuekai Sun; Lin Wang; James T Yurkovich; Miguel A P Oliveira; Phan T Vuong; Lemmer P El Assal; Inna Kuperstein; Andrei Zinovyev; H Scott Hinton; William A Bryant; Francisco J Aragón Artacho; Francisco J Planes; Egils Stalidzans; Alejandro Maass; Santosh Vempala; Michael Hucka; Michael A Saunders; Costas D Maranas; Nathan E Lewis; Thomas Sauter; Bernhard Ø Palsson; Ines Thiele; Ronan M T Fleming
Journal:  Nat Protoc       Date:  2019-03       Impact factor: 13.491

2.  Contextualization procedure and modeling of monocyte specific TLR signaling.

Authors:  Maike K Aurich; Ines Thiele
Journal:  PLoS One       Date:  2012-12-06       Impact factor: 3.240

3.  An integrated network visualization framework towards metabolic engineering applications.

Authors:  Alberto Noronha; Paulo Vilaça; Miguel Rocha
Journal:  BMC Bioinformatics       Date:  2014-12-30       Impact factor: 3.169

4.  Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0.

Authors:  Brian R Granger; Yi-Chien Chang; Yan Wang; Charles DeLisi; Daniel Segrè; Zhenjun Hu
Journal:  PLoS Comput Biol       Date:  2016-04-15       Impact factor: 4.475

5.  Exploring Hydrogenotrophic Methanogenesis: a Genome Scale Metabolic Reconstruction of Methanococcus maripaludis.

Authors:  Matthew A Richards; Thomas J Lie; Juan Zhang; Stephen W Ragsdale; John A Leigh; Nathan D Price
Journal:  J Bacteriol       Date:  2016-11-18       Impact factor: 3.490

6.  Fatty Acid Biosynthesis Pathways in Methylomicrobium buryatense 5G(B1).

Authors:  Aleksandr Demidenko; Ilya R Akberdin; Marco Allemann; Eric E Allen; Marina G Kalyuzhnaya
Journal:  Front Microbiol       Date:  2017-01-10       Impact factor: 5.640

7.  Kinetic and Stoichiometric Modeling-Based Analysis of Docosahexaenoic Acid (DHA) Production Potential by Crypthecodinium cohnii from Glycerol, Glucose and Ethanol.

Authors:  Kristaps Berzins; Reinis Muiznieks; Matiss R Baumanis; Inese Strazdina; Karlis Shvirksts; Santa Prikule; Vytautas Galvanauskas; Daniel Pleissner; Agris Pentjuss; Mara Grube; Uldis Kalnenieks; Egils Stalidzans
Journal:  Mar Drugs       Date:  2022-02-01       Impact factor: 5.118

Review 8.  Computational approaches for microalgal biofuel optimization: a review.

Authors:  Joseph Koussa; Amphun Chaiboonchoe; Kourosh Salehi-Ashtiani
Journal:  Biomed Res Int       Date:  2014-09-21       Impact factor: 3.411

  8 in total

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